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Network In Network

Network In Network

16 December 2013
Min Lin
Qiang Chen
Shuicheng Yan
ArXivPDFHTML

Papers citing "Network In Network"

50 / 719 papers shown
Title
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
84
26,062
0
05 Sep 2017
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and
  Land Cover Classification
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification
P. Helber
B. Bischke
Andreas Dengel
Damian Borth
48
1,743
0
31 Aug 2017
Efficient Convolutional Network Learning using Parametric Log based
  Dual-Tree Wavelet ScatterNet
Efficient Convolutional Network Learning using Parametric Log based Dual-Tree Wavelet ScatterNet
Amarjot Singh
N. Kingsbury
27
26
0
30 Aug 2017
A Spatiotemporal Oriented Energy Network for Dynamic Texture Recognition
A Spatiotemporal Oriented Energy Network for Dynamic Texture Recognition
Isma Hadji
Richard P. Wildes
25
27
0
22 Aug 2017
ConvNet Architecture Search for Spatiotemporal Feature Learning
ConvNet Architecture Search for Spatiotemporal Feature Learning
Du Tran
Jamie Ray
Zheng Shou
Shih-Fu Chang
Manohar Paluri
3DPC
40
382
0
16 Aug 2017
Noisy Softmax: Improving the Generalization Ability of DCNN via
  Postponing the Early Softmax Saturation
Noisy Softmax: Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation
Binghui Chen
Weihong Deng
Junping Du
25
125
0
12 Aug 2017
On the convergence properties of a $K$-step averaging stochastic
  gradient descent algorithm for nonconvex optimization
On the convergence properties of a KKK-step averaging stochastic gradient descent algorithm for nonconvex optimization
Fan Zhou
Guojing Cong
46
233
0
03 Aug 2017
Learning Audio - Sheet Music Correspondences for Score Identification
  and Offline Alignment
Learning Audio - Sheet Music Correspondences for Score Identification and Offline Alignment
Matthias Dorfer
A. Arzt
Gerhard Widmer
41
43
0
31 Jul 2017
Orthogonal and Idempotent Transformations for Learning Deep Neural
  Networks
Orthogonal and Idempotent Transformations for Learning Deep Neural Networks
Jingdong Wang
Yajie Xing
Kexin Zhang
Cha Zhang
184
2
0
19 Jul 2017
Cloud-based or On-device: An Empirical Study of Mobile Deep Inference
Cloud-based or On-device: An Empirical Study of Mobile Deep Inference
Tian Guo
23
7
0
14 Jul 2017
Generalizing the Convolution Operator in Convolutional Neural Networks
Generalizing the Convolution Operator in Convolutional Neural Networks
Kamaledin Ghiasi-Shirazi
21
38
0
14 Jul 2017
Adversarial Dropout for Supervised and Semi-supervised Learning
Adversarial Dropout for Supervised and Semi-supervised Learning
Sungrae Park
Jun-Keon Park
Su-Jin Shin
Il-Chul Moon
GAN
35
174
0
12 Jul 2017
RegNet: Multimodal Sensor Registration Using Deep Neural Networks
RegNet: Multimodal Sensor Registration Using Deep Neural Networks
N. Schneider
Florian Piewak
Christoph Stiller
Uwe Franke
33
185
0
11 Jul 2017
Interleaved Group Convolutions for Deep Neural Networks
Interleaved Group Convolutions for Deep Neural Networks
Ting Zhang
Guo-Jun Qi
Bin Xiao
Jingdong Wang
36
81
0
10 Jul 2017
MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis
  Network
MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network
Zizhao Zhang
Yuanpu Xie
Fuyong Xing
M. McGough
L. Yang
MedIm
21
301
0
08 Jul 2017
DarkRank: Accelerating Deep Metric Learning via Cross Sample
  Similarities Transfer
DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer
Yuntao Chen
Naiyan Wang
Zhaoxiang Zhang
FedML
57
219
0
05 Jul 2017
Deep Mixture of Diverse Experts for Large-Scale Visual Recognition
Deep Mixture of Diverse Experts for Large-Scale Visual Recognition
Tianyi Zhao
Jun-chen Yu
Zhenzhong Kuang
Wei Zhang
Jianping Fan
MoE
32
13
0
24 Jun 2017
GM-Net: Learning Features with More Efficiency
GM-Net: Learning Features with More Efficiency
Yujia Chen
Ce Li
21
6
0
21 Jun 2017
Accurate Pulmonary Nodule Detection in Computed Tomography Images Using
  Deep Convolutional Neural Networks
Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks
Jia Ding
Aoxue Li
Zhiqiang Hu
Liwei Wang
MedIm
24
344
0
14 Jun 2017
SEP-Nets: Small and Effective Pattern Networks
SEP-Nets: Small and Effective Pattern Networks
Zhe Li
Xiaoyu Wang
Xutao Lv
Tianbao Yang
30
12
0
13 Jun 2017
PatternNet: A Benchmark Dataset for Performance Evaluation of Remote
  Sensing Image Retrieval
PatternNet: A Benchmark Dataset for Performance Evaluation of Remote Sensing Image Retrieval
Weixun Zhou
Shawn D. Newsam
Congmin Li
Z. Shao
44
450
0
11 Jun 2017
Deep Convolutional Decision Jungle for Image Classification
Deep Convolutional Decision Jungle for Image Classification
Seungryul Baek
K. Kim
Tae-Kyun Kim
29
17
0
06 Jun 2017
Data Augmentation of Wearable Sensor Data for Parkinson's Disease
  Monitoring using Convolutional Neural Networks
Data Augmentation of Wearable Sensor Data for Parkinson's Disease Monitoring using Convolutional Neural Networks
T. T. Um
Franz MJ Pfister
Daniel C. Pichler
Satoshi Endo
Muriel Lang
Sandra Hirche
U. Fietzek
Dana Kulić
44
672
0
02 Jun 2017
DiracNets: Training Very Deep Neural Networks Without Skip-Connections
DiracNets: Training Very Deep Neural Networks Without Skip-Connections
Sergey Zagoruyko
N. Komodakis
UQCV
OOD
13
117
0
01 Jun 2017
Spectral Norm Regularization for Improving the Generalizability of Deep
  Learning
Spectral Norm Regularization for Improving the Generalizability of Deep Learning
Yuichi Yoshida
Takeru Miyato
40
325
0
31 May 2017
Feature Incay for Representation Regularization
Feature Incay for Representation Regularization
Yuhui Yuan
Kuiyuan Yang
Chao Zhang
35
16
0
29 May 2017
Extracting 3D Vascular Structures from Microscopy Images using
  Convolutional Recurrent Networks
Extracting 3D Vascular Structures from Microscopy Images using Convolutional Recurrent Networks
Russell Bates
B. Irving
B. Markelc
Jakob Kaeppler
R. Muschel
Vicente Grau
Julia A. Schnabel
MedIm
22
20
0
26 May 2017
Robustness of classifiers to universal perturbations: a geometric
  perspective
Robustness of classifiers to universal perturbations: a geometric perspective
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
Omar Fawzi
P. Frossard
Stefano Soatto
AAML
26
118
0
26 May 2017
Classification regions of deep neural networks
Classification regions of deep neural networks
Alhussein Fawzi
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
Stefano Soatto
21
51
0
26 May 2017
Audio-replay attack detection countermeasures
Audio-replay attack detection countermeasures
G. Lavrentyeva
Sergey Novoselov
E. Malykh
Alexander Kozlov
Oleg Kudashev
Vadim Shchemelinin
16
10
0
24 May 2017
Deep Rotation Equivariant Network
Deep Rotation Equivariant Network
Junying Li
Zichen Yang
Haifeng Liu
Deng Cai
26
59
0
24 May 2017
Agent-Centric Risk Assessment: Accident Anticipation and Risky Region
  Localization
Agent-Centric Risk Assessment: Accident Anticipation and Risky Region Localization
Kuo-Hao Zeng
Shih-Han Chou
Fu-Hsiang Chan
Juan Carlos Niebles
Min Sun
32
59
0
18 May 2017
Gabor Filter Assisted Energy Efficient Fast Learning Convolutional
  Neural Networks
Gabor Filter Assisted Energy Efficient Fast Learning Convolutional Neural Networks
Syed Shakib Sarwar
Priyadarshini Panda
Kaushik Roy
CVBM
13
100
0
12 May 2017
R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD
  Malware Detections
R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD Malware Detections
Hsien-De Huang
Hung-Yu kao
AAML
21
147
0
12 May 2017
CORe50: a New Dataset and Benchmark for Continuous Object Recognition
CORe50: a New Dataset and Benchmark for Continuous Object Recognition
Vincenzo Lomonaco
Davide Maltoni
34
489
0
09 May 2017
Residual Squeeze VGG16
Residual Squeeze VGG16
Hussam Qassim
David Feinzimer
Abhishek Verma
VLM
14
21
0
05 May 2017
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep
  Neural Networks
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks
Minsoo Rhu
Mike O'Connor
Niladrish Chatterjee
Jeff Pool
S. Keckler
27
176
0
03 May 2017
Gabor Convolutional Networks
Gabor Convolutional Networks
Shangzhen Luan
Baochang Zhang
Chen Chen
Xianbin Cao
J. Han
Jianzhuang Liu
BDL
47
338
0
03 May 2017
Parseval Networks: Improving Robustness to Adversarial Examples
Parseval Networks: Improving Robustness to Adversarial Examples
Moustapha Cissé
Piotr Bojanowski
Edouard Grave
Yann N. Dauphin
Nicolas Usunier
AAML
86
798
0
28 Apr 2017
Improving Facial Attribute Prediction using Semantic Segmentation
Improving Facial Attribute Prediction using Semantic Segmentation
Mahdi M. Kalayeh
Boqing Gong
M. Shah
CVBM
16
88
0
27 Apr 2017
Inception Recurrent Convolutional Neural Network for Object Recognition
Inception Recurrent Convolutional Neural Network for Object Recognition
Md. Zahangir Alom
Mahmudul Hasan
C. Yakopcic
T. Taha
39
86
0
25 Apr 2017
ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond
ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond
Siyuan Qiao
Wei Shen
Weichao Qiu
Chenxi Liu
Alan Yuille
22
36
0
22 Apr 2017
Virtual Adversarial Training: A Regularization Method for Supervised and
  Semi-Supervised Learning
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
Takeru Miyato
S. Maeda
Masanori Koyama
S. Ishii
GAN
12
2,717
0
13 Apr 2017
The Relative Performance of Ensemble Methods with Deep Convolutional
  Neural Networks for Image Classification
The Relative Performance of Ensemble Methods with Deep Convolutional Neural Networks for Image Classification
Cheng Ju
Aurélien F. Bibaut
Mark van der Laan
UQCV
25
357
0
05 Apr 2017
A Genetic Programming Approach to Designing Convolutional Neural Network
  Architectures
A Genetic Programming Approach to Designing Convolutional Neural Network Architectures
Masanori Suganuma
Shinichi Shirakawa
T. Nagao
22
587
0
03 Apr 2017
Snapshot Ensembles: Train 1, get M for free
Snapshot Ensembles: Train 1, get M for free
Gao Huang
Yixuan Li
Geoff Pleiss
Zhuang Liu
J. Hopcroft
Kilian Q. Weinberger
OOD
FedML
UQCV
47
935
0
01 Apr 2017
More is Less: A More Complicated Network with Less Inference Complexity
More is Less: A More Complicated Network with Less Inference Complexity
Xuanyi Dong
Junshi Huang
Yi Yang
Shuicheng Yan
26
288
0
25 Mar 2017
High-Resolution Breast Cancer Screening with Multi-View Deep
  Convolutional Neural Networks
High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks
Krzysztof J. Geras
Stacey Wolfson
Yiqiu Shen
Nan Wu
S. G. Kim
Eric Kim
Laura Heacock
Ujas N Parikh
Linda Moy
Kyunghyun Cho
34
222
0
21 Mar 2017
Encouraging LSTMs to Anticipate Actions Very Early
Encouraging LSTMs to Anticipate Actions Very Early
Mohammad Sadegh Ali Akbarian
F. Saleh
Mathieu Salzmann
Basura Fernando
L. Petersson
Lars Andersson
34
169
0
21 Mar 2017
Multilevel Context Representation for Improving Object Recognition
Multilevel Context Representation for Improving Object Recognition
Andreas Kölsch
Muhammad Zeshan Afzal
Marcus Liwicki
33
3
0
19 Mar 2017
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